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A Data Mining Approach to Construct Graduates Employability Model in Malaysia
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E4ML: Educational Tool for Machine Learning
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A data mining approach to construct graduates employability model in Malaysia
Published 2011“…The performance of Bayes algorithms are also compared against a number of tree-based algorithms. …”
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A 'snowflake' geometrical representation for optimised degree six 3-modified chordal ring networks
Published 2016“…The results of this research are important in developing a routing algorithm for CHR6o3.…”
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A DNA-Inspired Symmetric Lightweight Block Cipher With Strong Randomness Properties
Published 2026“…S-Box Testing: focuses on evaluating the substitution layer of the algorithm, specifically the DNA S-Boxes. Results obtained show that the DNA S-Boxes have similar security strength as compared to AES S-Box; Nonlinearity, = 112 (which satisfies 100 < < 120), Algebraic Degree, = 7 (which satisfies ≥ 4), Differential Uniformity, = 4 (which satisfies 2 ≤ ≤ 6), normal distribution graph for avalanche effect property, uniform distribution graph for completeness property, and also uniform distribution graph for strong S-box property. …”
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Classification models for higher learning scholarship award decisions
Published 2018“…In addition, the knowledge analysis of the decision tree model was also made and found that some new information derived from the acquisition of this research information may help the stakeholders in making new policies and scholarship programs in the future.…”
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Feature selection methods application towards a new dataset based on online student activities / Muhammad Hareez Mohd Zaki ... [et al.]
Published 2023“…This study will perform Analysis of Variance Test (ANOVA), Chisquared Test, Recursive Feature Elimination (RFE) and Extra Tree algorithm (ET) as feature selection methods to pre-process the proposed dataset that is considered raw data. …”
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Students’ attitude towards video-based learning: machine learning analysis with rapid software / Abdullah Sani Abd Rahman ... [et al.]
Published 2022“…The results show that all the three machine learning algorithms produced high accuracy (above 95%) prediction results based on the hold-out testing dataset. …”
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Enhancing understanding of programming concepts through physical games
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First Semester Computer Science Students’ Academic Performances Analysis by Using Data Mining Classification Algorithms
Published 2014“…From the experiment, the models develop using Rule Based and Decision Tree algorithm shows the best result compared to the model develop from the Naïve Bayes algorithm. …”
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Visualisasi pohon sintaksis berasaskan model dan algoritma sintaks ayat bahasa Melayu
Published 2018“…These results proved that the algorithm and model, for syntactic tree output enhancement, are generalisable enough to be tested on other languages. …”
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Legal Innovation in Religious Courts: The Potential Utilization of Artificial Intelligence (AI) in Resolving Contemporary Cases.
Published 2024“…Religious courts face complex challenges in resolving contemporary cases, such as marital disputes, inheritance distribution, and conflicts in Sharia-based economic matters. …”
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Abnormal event detection in video surveillance / Lim Mei Kuan
Published 2014“…Conventional sampling-based predictors often assume that motion is governed by a Gaussian distribution. …”
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Ensemble learning for multidimensional poverty classification
Published 2020“…Analysis of this study showed that Per Capita Income, State, Ethnic, Strata, Religion, Occupation and Education were found to be the most important variables in the classification of poverty at a rate of 99% accuracy confidence using Random Forest algorithm.…”
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Prediction of life expectancy for Asian population using machine learning ALGORITHMS / Nurul Shahira Pisal, Shuzlina Abdul-Rahman, Mastura Hanafiah and Saidatul Izyanie Kamarudin
Published 2022“…This study presents machine learning algorithms for life expectancy based on the Asian population dataset. …”
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New algorithm for listing all permutations
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Efficient signaling schedule for centralized and distributed scheduling algorithms for wimax multi-hop relay networks
Published 2012“…On the other hand, the proposed distributed scheduling algorithm (MR-DSA) was evaluated by comparing its performance against performances of Greedy and the factor-graph-based low-complexity distributed scheduling algorithm (FGDS) algorithms in terms of delay, throughput, and overhead. …”
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Thesis